This panel at ISHS 2018 solicits abstract submissions on the implementation of humor detection and generation systems in artificial intelligence environments.

Humor as a universal and ubiquitously used human ability has proven to be among the hardest to simulate in these environments. But progress is continuous and should be reported on at the most important international conference on humor. The main field contributing to humor and AI is natural language processing (computational linguistics), where currently deep learning methods are de rigueur. But these are more successful at visual processing than symbolic systems, which are the basis of humor. Simpler tasks, like template-based joke generation and rule-based or machine-learned joke detection, are seeing more recent advances. Beyond these narrower approaches, any researcher in artificial intelligence and humor from any field should feel welcome to this panel.